HyukjinKwon commented on a change in pull request #26045: [SPARK-29367][DOC] Add compatibility note for Arrow 0.15.0 to SQL guide URL: https://github.com/apache/spark/pull/26045#discussion_r332328686
########## File path: docs/sql-pyspark-pandas-with-arrow.md ########## @@ -219,3 +219,14 @@ Note that a standard UDF (non-Pandas) will load timestamp data as Python datetim different than a Pandas timestamp. It is recommended to use Pandas time series functionality when working with timestamps in `pandas_udf`s to get the best performance, see [here](https://pandas.pydata.org/pandas-docs/stable/timeseries.html) for details. + +### Compatibiliy Setting for PyArrow >= 0.15.0 and Spark 2.3.x, 2.4.x + +Since Arrow 0.15.0, a change in the binary IPC format requires an environment variable to be set in +Spark so that PySpark maintain compatibility with versions on PyArrow 0.15.0 and above. The following can be added to `conf/spark-env.sh` to use the legacy IPC format: + +``` +ARROW_PRE_0_15_IPC_FORMAT=1 +``` + +This will instruct PyArrow >= 0.15.0 to use the legacy IPC format with the older Arrow Java that is in Spark 2.3.x and 2.4.x. Review comment: Hm, @BryanCutler do you target to upgrade and also increase minimum versions of PyArrow at SPARK-29376 (and we upgrade in JVM one too; therefore, we don't need to set the environment variable)? If so, we don't have to deal with https://github.com/apache/spark/pull/26045/files#r332285077 since Arrow with R is new in Spark 3.0. If that's the case, increasing minimum version of Arrow R to 0.15.0 is fine to me too. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
